Introduction

Youth & Adult Literacy Rates Datasets Link

The data is a CSV from Kaggle. This dataset contains data on literacy rates for youth and adults in various regions and countries. It has two csv files.

The dataset can be used to help policy-makers understand where interventions are needed to improve literacy rates

Analysing:

• Comparing the literacy rates of different
  • regions
  • countries
  • age groups
  • genders

Why Literacy Project?

Growing up, many people in my community, neighborhood and family were not able to read and write. So I wanted to see the literacy rate in recent years and picked it for the project

Library Loading

• library(dplyr): using for data manipulation

• library(tidyverse): using to transform and better present data

• library(ggplot2): using for data visualization and plotting charts

• library(plotly): using for creating interactive web-based graphs

• library(knitr): using for formatting tables

• library(kableExtra): using for formatting tables and manipulate table styles

## Warning: package 'tidyverse' was built under R version 4.3.2

## Warning: package 'kableExtra' was built under R version 4.3.2

## Warning: package 'knitr' was built under R version 4.3.2

Reading in Data

## Rows: 4,955
## Columns: 7
## $ index           <dbl> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, …
## $ Region          <chr> "Central and Southern Asia", "Central and Southern Asi…
## $ Country         <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afghanis…
## $ Year            <dbl> 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, …
## $ Age             <chr> "15+", "15+", "15+", "15-24", "15-24", "15-24", "25-64…
## $ Gender          <chr> "female", "male", "total", "female", "male", "total", …
## $ `Literacy rate` <dbl> 0.1761206, 0.4541710, 0.3174112, 0.3211322, 0.6187907,…

## Rows: 202
## Columns: 9
## $ Country                           <chr> "Afghanistan", "Albania", "Algeria",…
## $ Region                            <chr> "SA", "ECA", "MENA", "ECA", "SSA", "…
## $ `Sub-region`                      <chr> NA, "EECA", NA, "WE", "ESA", NA, NA,…
## $ `Least developed countries (LDC)` <chr> "LDC", NA, NA, NA, "LDC", NA, NA, NA…
## $ `Africa sub-regions`              <chr> NA, NA, "Northern Africa", NA, "Sout…
## $ `Africa region`                   <chr> NA, NA, "All", NA, "All", NA, NA, NA…
## $ Total                             <dbl> 43, 98, 81, NA, NA, NA, NA, 99, NA, …
## $ Male                              <dbl> 55, 99, 87, NA, NA, NA, NA, 99, NA, …
## $ Female                            <dbl> 30, 98, 75, NA, NA, NA, NA, 99, NA, …

Countries with Higest Literacy rate

Countries with Lowest Literacy rate

Literacy rates of different age groups by year

Mean literacy rates by age group

Progress of a Region’s literacy rate over time

Progress of a Region’s literacy rate over time

Literacy rates by country of Sub-Saharan Africa Region

Sub-Saharan Africa Region

Literacy rates of Year 2011 & 2013 of Sub-Saharan Africa Region

Literacy rates of countries of Eastern and South-Eastern Asia Region

Eastern and South-Eastern Asia Region

Male & Female Literacy rate by region

Countries with High Female Literacy rate

Countries with Low Female Literacy rate

Male & Female Literacy rate over time

Summary

• Gap between male and female is consistent over the years
• More programs are required for females &
• 65+ age group
• Data collection is inconsistent from year to year
• Need more data to compare the regions or countries